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Computer-aided detection of breast carcinoma in standard mammographic projections with digital mammography

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

A retrospective evaluation of the ability of computer-aided detection (CAD) ability to identify breast carcinoma in standard mammographic projections.

Materials and methods

Forty-five biopsy proven lesions in 44 patients imaged digitally with CAD applied at examination were reviewed. Forty-four screening BIRADS® category 1 digital mammography examinations were randomly identified to serve as a comparative normal/control population. Data included patient age; BIRADS® breast density; lesion type, size, and visibility; number, type, and location of CAD marks per image; CAD ability to mark lesions; needle core and surgical pathologic correlation.

Results

The CAD lesion/case sensitivity of 87% (n = 39), image sensitivity of 69% (n = 31) for mediolateral oblique view and 78% (n = 35) for the craniocaudal view was found. The average false positive rate in 44 normal screening cases was 2.0 (range 1–8). The 2.0 figure is based on 88 reported false positive CAD marks in 44 normal screening exams: 98% (n = 44) lesions proceeded to excision; initial pathology upgraded at surgical excision from in situ to invasive disease in 24% (n = 9) lesions.

Conclusion

CAD demonstrated potential to detect mammographically visible cancers in standard projections for all lesion types.

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References

  1. Kopans DB (1992) Detecting breast cancer not visible by mammography. J Natl Cancer Inst 84(10): 745–747. doi:10.1093/jnci/84.10.745

    Article  PubMed  CAS  Google Scholar 

  2. Brown M, Eccles C, Wallis MG (2001) Geographical distribution of breast cancers on the mammogram: an interval cancer database. Br J Radiol 74(880): 317–322

    PubMed  CAS  Google Scholar 

  3. Andersson I, Hildell J, Muhlow A, Pettersson H (1978) Number of projections in mammography: influence on detection of breast disease. AJR Am J Roentgenol 130: 349–351

    PubMed  CAS  Google Scholar 

  4. Destounis SV, DiNitto P, Young W, Bonaccio E, Zuley M, Willison K (2004) Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate?. Initial experience. Radiology 232: 578–584. doi:10.1148/radiol.2322030034

    Google Scholar 

  5. Freer TW, Ulissey MJ (2001) Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology 220: 781–786. doi:10.1148/radiol.2203001282

    Article  PubMed  CAS  Google Scholar 

  6. Burhenne LW, Wood SA, D’Orsi CJ et al (2000) Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology 215: 554–562

    Google Scholar 

  7. Melton AR, Worrell SW, Knapp J, Hoffmeister JW (2007) Computer-aided detection with full-field digital mammography and screen-film mammography. AJR Am J Roentgenol 188: A36–A39 (abstract)

    Google Scholar 

  8. Yang SK, Moon WK, Cho N, Park JS, Cha JH, Kim SM, Kim SJ, Im JG (2007) Screening Mammography detected cancers: sensitivity of a computer-aided detection system applied to full-field digital mammograpms. Radiology 244(1): 104–111. doi:10.1148/radiol.2441060756

    Article  PubMed  Google Scholar 

  9. Skaane P, Kshirsagar A, Stapleton S, Young K, Castellino RA (2007) Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms. AJR Am J Roentgenol 188(2): 377–384. doi:10.2214/AJR.05.2207

    Article  PubMed  Google Scholar 

  10. Cupples TE, Cunningham JE, Reynolds JC (2005) Impact of computer-aided detection in a regional screening mammography program. AJR 185: 944–950. doi:10.2214/AJR.04.1300

    Article  PubMed  Google Scholar 

  11. Kim SJ, Moon WK, Cho N et al (2006) Computer-aided detection in digital mammography: comparison of craniocaudal, mediolateral oblique, and mediolateral views. Radiology 241: 695–701. doi:10.1148/radiol.2413051145

    Article  PubMed  Google Scholar 

  12. Roehrig J (2005) The manufacturer’s perspective. Br J Radiol 78: S41–S45. doi:10.1259/bjr/25058162

    Article  PubMed  Google Scholar 

  13. Obenauer S, Sohns C, Werner C, Grabbe E (2006) Impact of breast density on computer-aided detection in full-field digital mammography. J Digital Imaging 19(3): 258–263

    Article  Google Scholar 

  14. Ho WT, Lam PW (2003) Clinical performance of computer-assisted detection (CAD) system in detecting carcinoma in breasts of different densities. Clin Radiol 58(2): 133–136. doi:10.1053/crad.2002.1131

    Article  PubMed  CAS  Google Scholar 

  15. Brem RF, Hoffmeister J, Rapelyea JA, Knapp J, Worrell S (2007) Evaluation of breast cancer with a computer-aided detection system and computed radiography for mammography. Am J Roentgenol 188: A36–A39

    Article  Google Scholar 

  16. Baum F, Fischer U, Obenauer S, Grabbe E (2002) Computer-aided detection in direct digital full-field mammography: initial results. Eur Radiol 12(12): 3015–3017 (Epub 2002 Jun 12)

    PubMed  CAS  Google Scholar 

  17. Castellino RA, Roehrig J, Zhang W (2000) Improved computer-aided detection (CAD) algorithms for screening mammography(abstr). Radiology 217(P): 400

    Google Scholar 

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Authors and Affiliations

  1. Elizabeth Wende Breast Care, LLC, Rochester, NY, USA

    Stamatia Destounis, Sarah Hanson, Renee Morgan, Philip Murphy, Patricia Somerville, Posy Seifert, Valerie Andolina, Andrea Arieno, Melissa Skolny & Wende Logan-Young

  2. School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA

    Stamatia Destounis

Authors
  1. Stamatia Destounis
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  2. Sarah Hanson
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  3. Renee Morgan
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  4. Philip Murphy
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  5. Patricia Somerville
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  6. Posy Seifert
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  7. Valerie Andolina
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  8. Andrea Arieno
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  9. Melissa Skolny
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  10. Wende Logan-Young
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Correspondence to Stamatia Destounis.

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Destounis, S., Hanson, S., Morgan, R. et al. Computer-aided detection of breast carcinoma in standard mammographic projections with digital mammography. Int J CARS 4, 331–336 (2009). https://doi.org/10.1007/s11548-009-0300-7

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  • DOI: https://doi.org/10.1007/s11548-009-0300-7

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